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cs.LG2025
LoReTTA: A Low Resource Framework To Poison Continuous Time Dynamic Graphs
Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal +1
Temporal Graph Neural Networks (TGNNs) are increasingly used in high-stakes domains, such as financial forecasting, recommendation systems, and fraud detection. However, their susc…
cs.LG2025
Higher Order Structures For Graph Explanations
Akshit Sinha, Sreeram Vennam, Charu Sharma +1
Graph Neural Networks (GNNs) have emerged as powerful tools for learning representations of graph-structured data, demonstrating remarkable performance across various tasks. Recogn…